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Ashish Nagar is the CEO and founder of Level AI , taking his experience at Amazon on the Alexa team to use artificial intelligence to transform contact center operations. With a strong background in technology and entrepreneurship, Ashish has been instrumental in driving the company’s mission to enhance the efficiency and effectiveness of customer service interactions through advanced AI solutions.
Tumors, which are abnormal growths that can develop on brain tissues, pose significant challenges to the Central Nervous System. To detect unusual activities in the brain, we rely on advanced medical imaging techniques like MRI and CT scans. However, accurately identifying tumors can be complex due to their diverse shapes and textures, requiring careful analysis […] The post Classification of MRI Scans using Radiomics and MLP appeared first on Analytics Vidhya.
Starting a business is no small feat! Did you know 23.2% of new businesses fail in their first year ? That's why having a clear, well-structured plan can make all the difference in crossing that daunting threshold. I recently came across Upmetrics. It's a cloud-based business planning tool that guides you through every stage of your business plan with a seamless, user-friendly experience!
Bria AI is a generative AI platform for the production of professional-grade visual content, mainly for enterprises. Established in 2020, they have the tools there, including text-to-image generation, editing with inpainting, background removal, and more. They design their models with responsible AI use in mind, utilizing licensed data to ensure compliance and ethical practices.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
A Problem As more large companies invest in AI agents, viewing them as the future of operational efficiency, a growing wave of skepticism is emerging. While there’s excitement about the potential of these technologies, many organizations are finding that the reality often falls short of the hype. This disappointment can largely be attributed to two main issues: overhyped promises and the highly specific nature of business problems.
Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Meet JAX! Your new best friend in your machine learning, deep learning, and numerical computing journey. Think of it as NumPy with superpowers. It can automatically handle gradients, compile your code to run fast using JIT, and even run […] The post Guide to Lightning-fast JAX appeared first on Analytics Vidhya.
Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Meet JAX! Your new best friend in your machine learning, deep learning, and numerical computing journey. Think of it as NumPy with superpowers. It can automatically handle gradients, compile your code to run fast using JIT, and even run […] The post Guide to Lightning-fast JAX appeared first on Analytics Vidhya.
Global Resiliency is a new Amazon Lex capability that enables near real-time replication of your Amazon Lex V2 bots in a second AWS Region. When you activate this feature, all resources, versions, and aliases associated after activation will be synchronized across the chosen Regions. With Global Resiliency, the replicated bot resources and aliases in the second Region will have the same identifiers as those in the source Region.
Created Using Midjourney I mentioned last week that these opinion pieces are trying to offer a different perspective about various topics in AI. Today, I would like to share some opinions about transformer architectures. Beyond completely revolutionizing the generative AI field, transformers can be considered a true marvel given its unique scaling properties and incredible adaptability.
As we accelerate ahead of Industry 4.0, digital transformation reshapes businesses at an unprecedented level. Today, organizations face high pressures to deliver software faster, more reliably, and at scale. The growing complexities of the cloud environment and heightened demand for frictionless customer experiences have further complicated software development.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Last Updated on October 31, 2024 by Editorial Team Author(s): Manpreet Singh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Created by author Here comes a new way to talk to AI. lets see the power of PDL in the world of LLMs When we think of working with Large Language Models (LLMs) — those amazing AIs that can write poems or even code — we often forget one important part, i.e.
After months of planning and bringing together expert speakers from across law firms, inhouse and legal tech companies, Legal Innovators UK is happening next week.
Last Updated on October 31, 2024 by Editorial Team Author(s): Gencay I. Originally published on Towards AI. Let’s Analyze the Dataset by using this combination This member-only story is on us. Upgrade to access all of Medium. Created with Abidin Dino AI, to reach it, consider being Paid subscriber to LearnAIWithMe, here OpenAI has been consistently publishing different models to meet our diverse needs.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Last Updated on October 31, 2024 by Editorial Team Author(s): Devashish Datt Mamgain Originally published on Towards AI. AI and Maths In 2022 and 2023, large AI companies were primarily concerned with NLP. This was evidenced by the launches that focused more on creative use and Mira. However, the latest models (o1 and the new Claude Sonnet 3.5) have focused more on mathematical reasoning and science problems.
Anomaly detection means finding patterns in data that are different from normal. These unusual patterns are called anomalies or outliers. In large datasets, finding anomalies is harder. The data is big, and patterns can be complex. Regular methods may not work well because there is so much data to look through.
Last Updated on October 31, 2024 by Editorial Team Author(s): Barhoumi Mosbeh Originally published on Towards AI. Microsoft has silently released OmniParser, an open-source tool designed to convert screenshots into structured, easy-to-interpret elements for Vision Agents. The goal of this tool is to advance the emerging field of enabling large language models (LLMs) to interact with graphical user interfaces (GUIs).
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Last Updated on October 31, 2024 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Plus: Meta’s New AI-Powered Search Engine This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes!
ExtremeTech is the Web's top destination for news and analysis of emerging science and technology trends, and important software, hardware, and gadgets.
Last Updated on October 31, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week Anthropic released significant upgrades to its Claude model family with an improved Sonnet 3.5, the first smaller Haiku model in the 3.5 series, and a new feature allowing “computer use”.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Understanding and analyzing long videos has been a significant challenge in AI, primarily due to the vast amount of data and computational resources required. Traditional Multimodal Large Language Models (MLLMs) struggle to process extensive video content because of limited context length. This challenge is especially evident with hour-long videos, which need hundreds of thousands of tokens to represent visual information—often exceeding the memory capacity of even advanced hardware.
Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. In this post, we showcase how to fine-tune a sentence transformer specifically for classifying an Amazon product into its product category (such as toys or sporting goods).
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